Antoine Bodein
Molecular Biology · 2021
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 28 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Antoine Bodein trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Antoine Bodein's perspective
Ordered by how strongly the researchers Antoine Bodein trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning the parts of objects by non-negative matrix factorization
- Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis (Bioinform.)
- Learning the Kernel Matrix with Semidefinite Programming
- Nonlinear Component Analysis as a Kernel Eigenvalue Problem
- Methods of integrating data to uncover genotype–phenotype interactions (Nature reviews genetics)
- Sparse Principal Component Analysis
- Support vector machines
- Discovery of multi-dimensional modules by integrative analysis of cancer genomic data (Nucleic Acids Research)
- Multiple Kernel Learning Algorithms
- The PageRank Citation Ranking : Bringing Order to the Web
Their papers
- Integration strategies of multi-omics data for machine learning analysis (2021) — 525 citations